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Climate and fire are primary drivers of plant species distributions. Long-term management of south central United States woody vegetation communities can benefit from information on potential changes in climate and fire frequencies, and how these changes might affect plant communities. We used historical (1900 to 1929) and future (2040 to 2069 and 2070 to 2099) projected climate data for the conterminous US to estimate reference and future fire probabilities using a physical chemistry fire frequency model. We then used the fire probability data with additional climate parameters to construct maximum entropy environmental suitability models for three south central US vegetation communities. The modeled communities...
Categories: Publication; Types: Citation; Tags: Fire Ecology
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Fire is critical to maintaining and restoring temperate ecosystems in the South Central U.S. As precipitation patterns and temperatures change in the region, managers require information on how these changes will impact fire frequency, and thus the species and ecosystems within the landscape. To address this need, researchers will use climate model data to predict and map future changes in fire frequency for Texas, Oklahoma, and New Mexico. Researchers will then examine species and ecosystem distribution data to understand the relationship between climate, fire frequency, and species occurrence. This analysis will enable researchers to identify potential future distributions of woody ecosystems and species such...
Lead (Pb) and calcium (Ca) concentrations were measured in fillet samples of longear sunfish (Lepomis megalotis) and suckers (Catostomidae) collected in 2005‒12 from the Big River, which drains a historical mining area in southeastern Missouri, where a consumption advisory is in effect due to elevated Pb concentrations in fish. Regression analysis indicated that fillet Ca explained 75‒>99% of fillet Pb variation in mining-affected stream reaches. We used analysis-of-covariance to standardize Pb concentration to a common Ca concentration (415 ug/g wet weight), which reduced differences between taxa. Variation among sites and years also was reduced after Ca-normalization, as was the number of samples that exceeded...
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The Land Capability Potential Index (LCPI) is a hydrogeomorphic model of potential flow-return interval and soil drainage classes developed as a decision support tool for the restoration and management of floodplain habitat on the Lower Missouri River. Because the LCPI captures abiotic variables known to affect the distribution of plant species, it may be useful in predicting where invasive species are likely to occur and become abundant and as a framework for applying management actions to control their spread. The frequencies with which 5 non-native and 1 native invasive species occurred and exceeded 15 percent cover were examined in relation to LCPI classes using existing data collected during multiple studies...
    map background search result map search result map Understanding Future Fire Frequency and Impacts on Species Distribution in the South Central U.S. Missouri River invasive plant species sampling locations and cover values, 2002-2012 Missouri River invasive plant species sampling locations and cover values, 2002-2012 Understanding Future Fire Frequency and Impacts on Species Distribution in the South Central U.S.